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Agricultural and Biological Engineering

Agricultural and Biological Engineering

Certificate in SmartAg Engineering

The Agricultural and Biological Engineering graduate studies program offers an opportunity for students to earn a certificate in SmartAg Engineering. Students will be trained in several topical areas relevant to modern computation-based innovations in agriculture termed SmartAg. A tiered course structure introduces students to concepts of instrumentation, machine learning, and control methods in SmartAg applications.

A 3-tier sequence of courses was devised based on the current catalog of courses with an emphasis on Artificial Intelligence and SmartAg concepts. The 3-tier sequence consists of three required courses followed by electives that can be selected according to the student's area of focus or interest.

The first course at Tier I is a graduate level instrumentation class which covers topics such as, systems identification, data collection, and analysis, experimental error, sampling theory, various traditional and IOT sensor technologies with sensor fusion, and data acquisition systems using Arduino, LabView and NVIDIA Jetson edge processors. At Tier II, the SmartAg course introduces students to fundamental computational control approaches such as PID, fuzzy logic, neural networks, fuzzy-neural control, classifiers, process control and motion control applied to agriculture. In addition, at Tier II, students will take a machine learning class which will introduce them to various AI/ML topics such as Bayesian Learning, non-parametric learning, discriminative learning, and Deep Learning. After completion of the first three courses, students can select 2 additional specialized courses (electives) according to their area of focus or interest across different disciplines.

IMPORTANT: To enroll in this certificate, the student must apply online following the link below (and click to “Apply Here" in that page):

http://www.admissions.ufl.edu/apply/more

Please notice that no more than 50% of certificate coursework can be completed prior to submitting an application for the certificate program.

Please notify Daphne Flournoy (dflournoy@ufl.edu) after you complete the application so she can process your admission.

3-Tier Sequence of Courses

  • Tier 1 [Required]
    ABE6031 Instrumentation in Agricultural Engineering Research
  • Tier 2 [Required]
    ABE 5009 Control Methods in SmartAg Systems (Required)
    ABE6933 Statistical Machine Learning
    EEL5840 Fundamentals of Machine Learning
  • Tier 3 [Choose Two Courses]
    AOM 5435 Advanced Precision Agriculture
    AOM5456 Applied Methods in SmartAg Systems
    ABE 5038 Recent Developments and Applications in Biosensors
    ABE 5152 Electro-Hydraulic Circuits and Controls
    ABE 6005 Applied Control for Automation and Robots
    ABE 6266 Nanotechnology in Water Research
    ABE 6035 Advanced Remote Sensing: Science and Sensors
    ABE 6645C Computer Simulation of Crop Growth and Management Responses
    ABE6649C Advanced Biological Systems Modeling 
    ABE 6933 Special Topics in Agricultural and Biological Engineering
    ABE 6933 Special Topics in Agricultural and Biological Engineering 
    AOM6061 Adv Ag Food Sys In
    GIS 6116 Geographic Information Systems Analysis